Lin, H.Cai, C.Lu, S.Xie, X.Shi, P.2025-10-232025-10-232024Information Sciences, 2024; 670:120632-1-120632-150020-02551872-6291https://hdl.handle.net/2440/147965In this paper, we are devoted to solving the problems of designing an estimator, and determining its estimator stability and estimation performance for a system with unknown measurement losses (UML). The solutions to these problems include three steps: first, we design two measurementloss detectors to detect the measurement losses; Then, we design a detector-based estimator for UML systems. Finally, by analyzing the upper and lower bounds of the covariances of the proposed estimator, we establish a stability condition and determine the estimation performance. Detailed findings and main contributions of this paper are summarized as follows: (i) from the estimator stability perspective, we obtain a necessary and sufficient stability condition. Specifically, the estimator is stable almost surely if and only if the measurement-loss rate is less than a critical value. (ii) From the estimation performance perspective, we prove that under some conditions, the performance of the proposed estimator is almost surely the same as that of the optimal estimator for the system with known measurement losses.en© 2024 Elsevier Inc. All rights reserved.Estimator stability; Measurement loss detector; State estimation; Unknown measurement lossesJournal article10.1016/j.ins.2024.120632691897Shi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]